TERRA Phenotyping Reference Platform. Advancing crop breeding and digital agriculture with lots of #opendata & #openscience.

Joined October 2015
39 Photos and videos
Pinned Tweet
26 Aug 2020
Data from seasons 4 and 6 are now in the public domain - see "Data From: TERRA-REF, An open reference data set from high resolution genomics, phenomics, and imaging sensors" doi.org/10.5061/dryad.4b8gth… 1/n #opendata #agdata #data
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TERRA Ref retweeted
You can read the paper here: openreview.net/pdf?id=dOeBYj… And access the data or submit to the benchmark at sorghumsnpbenchmark.com/

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TERRA Ref retweeted
This is the product of many years of work by Zeyu, @rbpless, Austin, @NadiaShakoor, myself, and the late Todd Mockler, focused on leveraging the mind-bogglingly awesome @terra_ref imagery and genomics data to do novel genotype x phenotype discovery in sorghum.
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TERRA Ref retweeted
Consider participating in this machine learning challenge organized by @abby621 through a #AG2PI seed grant award: ag2pi.org/resources/ag2pi-fu… can you identify the sorghum variety? #NIFAfunded

30 Mar 2022
Check out the latest @kaggle challenge using TERRA REF imagery, can you identify Sorghum variety from images? Organized by @abby621 as part of #CVPR2022. Deadline May 30, 2022 kaggle.com/competitions/sorg… #computervision #MachineLearning #plants
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TERRA Ref retweeted
Super excited about the Sorghum-100 competition running on Kaggle right now as part of the @fgvcworkshop at #CVPR2022. Props to former student @justin_dulay and current student Maddie Pope for organizing this!
30 Mar 2022
Check out the latest @kaggle challenge using TERRA REF imagery, can you identify Sorghum variety from images? Organized by @abby621 as part of #CVPR2022. Deadline May 30, 2022 kaggle.com/competitions/sorg… #computervision #MachineLearning #plants
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30 Mar 2022
Check out the latest @kaggle challenge using TERRA REF imagery, can you identify Sorghum variety from images? Organized by @abby621 as part of #CVPR2022. Deadline May 30, 2022 kaggle.com/competitions/sorg… #computervision #MachineLearning #plants
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17 Dec 2021
Awesome TERRA REF inspired art by Chen Wang. See more of her @NCSASoftware inspired art on her Instagram instagram.com/chenniferwang/
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TERRA Ref retweeted
What a crazy day!! I had to leave the @cvppa2021 workshop at the very end to give our department colloquium and missed that two of my and my collaborators papers tied (in a three way tie!) for best paper! Woohoo!!!
11 Oct 2021
Replying to @terra_ref
Particularly exciting when awards for best paper based on reviewer scores resulted in a three way tie that included two contributions from the TERRA-REF team (2/n)
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11 Oct 2021
TERRA-REF’s High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community?" by @dlebauer @abby621 @NoahFahlgren @robkooper @KentonMcHenry and Max Burnette cs.usask.ca/faculty/stavness… best paper @cvppa2021 tied with (3/n)
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11 Oct 2021
"Classification and Visualization of Genotype x Phenotype Interactions in Biomass Sorghum" by @abby621 @rbpless @NadiaShakoor and @MocklerLab cs.usask.ca/faculty/stavness… tied for best paper @cvppa2021
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TERRA Ref retweeted
So excited about this! My group @SLUResearch will be leveraging @terra_ref data to run ML competitions to uncover genotype X phenotype relationships in biomass sorghum (and more generally developing a model for machine learning competitions to glean GXP understanding!)
Grants awarded for multidisciplinary research in Agricultural Genome-to-Phenome arena cals.iastate.edu/news/releas…
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4 Aug 2021
Learn what it took to calibrate our hyperspectral cameras from Sagan et al 2021 (hint: it wasn't easy!) ieeexplore.ieee.org/document…
The confluence of #agtech & #geospatial is happening in #StLouis. Dr. Nadia Shakoor & Dr. Todd Mockler collaborated with @geo_slu and others on the publication, “Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data” in @IEEXplore: bit.ly/2VrtEVa
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The University of Arizona will take part in a $20 million institute that aims to transform agriculture through artificial intelligence. news.arizona.edu/story/cyver…
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Glad it was helpful - thanks also to @KristinaRiemer for putting it together and leading the walkthroughs, and the extended @terra_ref team for pulling together this dataset!
Great start to @NAPPN_org meeting. Excellent workshop on using TERRA REF high throughput, sensor collected plant data! Thank you @dlebauer! Now I have to dust off my R skills and get started! @Fabiteam1 @UPnasagric @UPPlantAndSoil
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TERRA Ref retweeted
New paper out led by @jingweimo89! We hope this is a useful resource for people working in #computervision and #machinelearning in #agriculture who want to get started quickly w/ existing data!
A survey of public datasets for computer vision tasks in precision agr... sciencedirect.com/science/ar…
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TERRA Ref retweeted
Data analysis is often the most challenging part of digital phenotyping! If you are interested in learning available, open-source tools in plant phenomics, join us in our free, online workshop series "Fridays Hands-On" in collaboration with @NAPPN_org
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26 Aug 2020
Data from seasons 4 and 6 are now in the public domain - see "Data From: TERRA-REF, An open reference data set from high resolution genomics, phenomics, and imaging sensors" doi.org/10.5061/dryad.4b8gth… 1/n #opendata #agdata #data
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26 Aug 2020
For example, the dates and number of sensor data files we processed 3/n #opendata #RemoteSensing
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26 Aug 2020
And the number of phenotypes measured 4/n #Opendata #plants #traits
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